Memstack Product Feedback Analyzer
cwinvestments/memstack
A skill your agent uses when the user says 'analyze feedback', 'feedback analysis', 'what are customers asking for', or has support tickets, reviews, or survey data to categorize, score, and…
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering…
Install Voice Of Customer Synthesizer
$ npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills voice-of-customer-synthesizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/composites/voice-of-customer-synthesizer .claude/skills/voice-of-customer-synthesizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "voice-of-customer-synthesizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizer into .claude/skills/voice-of-customer-synthesizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-of-customer-synthesizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills voice-of-customer-synthesizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research/composites/voice-of-customer-synthesizer .agents/skills/voice-of-customer-synthesizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "voice-of-customer-synthesizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizer into .agents/skills/voice-of-customer-synthesizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-of-customer-synthesizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills voice-of-customer-synthesizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research/composites/voice-of-customer-synthesizer .cursor/skills/voice-of-customer-synthesizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "voice-of-customer-synthesizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizer into .cursor/skills/voice-of-customer-synthesizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-of-customer-synthesizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/research/composites/voice-of-customer-synthesizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills voice-of-customer-synthesizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research/composites/voice-of-customer-synthesizer .gemini/skills/voice-of-customer-synthesizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "voice-of-customer-synthesizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizer into .gemini/skills/voice-of-customer-synthesizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-of-customer-synthesizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills voice-of-customer-synthesizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research/composites/voice-of-customer-synthesizer .github/skills/voice-of-customer-synthesizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "voice-of-customer-synthesizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizer into .github/skills/voice-of-customer-synthesizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-of-customer-synthesizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills voice-of-customer-synthesizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research/composites/voice-of-customer-synthesizer .opencode/skills/voice-of-customer-synthesizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "voice-of-customer-synthesizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research/composites/voice-of-customer-synthesizer into .opencode/skills/voice-of-customer-synthesizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "voice-of-customer-synthesizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
voice-of-customer-synthesizer- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~2.4k tokens
- SKILL.md length
- 722 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering…
- Works in 6 steps: Intake → Data Collection → Theme Clustering → …
- Tasks that involve Customer feedback analysis
- SKILL.md covers When to Use, Phase 0: Intake, Phase 1: Data Collection and Phase 2: Theme Clustering, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Voice Of Customer Synthesizer is an agent skill from gooseworks-ai/goose-skills. Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Sales & Support, covering Customer feedback analysis, Market research and Web scraping. It works with Slack. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Tasks that involve Customer feedback analysis
- Tasks that involve Market research
- Tasks that involve Web scraping
Example prompts
- “/voice-of-customer-synthesizer”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Voice Of Customer Synthesizer loads about 2.4k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 722 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 722 words, ~2,426 tokens.
Download SKILL.mdSave it as
.claude/skills/voice-of-customer-synthesizer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- voice-of-customer-synthesizer
- description
- Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.
- tags
- research
Voice of Customer Synthesizer
Turn scattered customer feedback into a single source of truth. Aggregates signals from every source you have, clusters them into themes, and produces a report that product, marketing, and CS teams can actually act on.
Built for: Startups where customer feedback lives in 6 different places and nobody has time to synthesize it. The founder says "what are customers saying?" and nobody has a clear answer. This skill produces that answer.
When to Use
- "What are our customers saying?"
- "Synthesize customer feedback from last quarter"
- "Build a VoC report for the product team"
- "What themes are coming up in customer feedback?"
- "Aggregate feedback from all our channels"
Phase 0: Intake
Feedback Sources (provide all you have)
- Support tickets — Export from support tool (CSV: customer, date, subject, description, tags, resolution)
- NPS/CSAT survey responses — Scores + verbatim comments
- Slack messages — Customer channel messages, feedback channels
- G2/Capterra reviews — Will scrape if product is listed (provide product name or URL)
- Call/meeting transcripts — Customer call recordings or notes
- Churn exit survey responses — Why did customers leave?
- Feature request log — Internal tracker of what customers have asked for
- Social mentions — Twitter/LinkedIn/Reddit threads mentioning your product
- Email threads — Notable customer emails (praise or complaints)
- In-app feedback — Any in-product feedback submissions
Configuration
- Time period — What window to analyze? (Last 30 days, quarter, 6 months)
- Product name — For review scraping and context
- Report audience — Who's reading this? (Product team, exec team, CS team, all)
- Focus areas — Any specific themes to pay attention to? (e.g., "onboarding experience", "pricing feedback", "mobile app")
Phase 1: Data Collection
1A: Internal Data Processing
From the provided inputs, normalize all feedback into a standard format:
SOURCE | DATE | CUSTOMER | SEGMENT | FEEDBACK_TEXT | SENTIMENT | CATEGORYSentiment classification per item:
- Positive — Praise, satisfaction, delight
- Neutral — Feature request, question, observation
- Negative — Complaint, frustration, disappointment
- Critical — Churn threat, escalation, anger
1B: External Review Scraping (if applicable)
If product is on review platforms:
Chain: review-site-scraper for G2, Capterra, Trustpilot
Filter: reviews from the target time periodExtract: rating, review text, reviewer role/company size, date, pros, cons.
1C: Social Listening (if applicable)
Search: "[product name]" feedback OR review OR "switched to" OR "stopped using"
Search: "[product name]" site:reddit.com OR site:twitter.comPhase 2: Theme Clustering
Group all feedback items into themes using a bottom-up approach:
Clustering Method
- Read all feedback items
- Identify recurring topics (mentioned by 3+ customers or in 3+ sources)
- Group into theme clusters
- Rank by frequency AND severity
Theme Template
THEME: [Name — e.g., "Onboarding Complexity"]
FREQUENCY: [N mentions across M sources]
SENTIMENT: [Predominantly positive/neutral/negative]
TREND: [↑ Growing / → Stable / ↓ Declining vs prior period]
REPRESENTATIVE QUOTES:
- "[Exact quote]" — [Source, Customer segment, Date]
- "[Exact quote]" — [Source, Customer segment, Date]
- "[Exact quote]" — [Source, Customer segment, Date]
CUSTOMER SEGMENTS AFFECTED:
- [Segment 1: e.g., "New customers in first 30 days"]
- [Segment 2: e.g., "Enterprise accounts"]
ROOT CAUSE HYPOTHESIS:
[1-2 sentences: Why is this coming up? What's the underlying issue?]
IMPACT:
- On retention: [High/Medium/Low]
- On expansion: [High/Medium/Low]
- On acquisition: [High/Medium/Low]Phase 3: Analysis
3A: Sentiment Overview
Overall Sentiment Distribution:
Positive: [N] items ([X%]) ████████░░
Neutral: [N] items ([X%]) ████░░░░░░
Negative: [N] items ([X%]) ██░░░░░░░░
Critical: [N] items ([X%]) █░░░░░░░░░3B: Source Comparison
| Source | Volume | Avg Sentiment | Top Theme |
|---|---|---|---|
| Support tickets | [N] | [Pos/Neg score] | [Theme] |
| NPS comments | [N] | [Score] | [Theme] |
| G2 reviews | [N] | [Score] | [Theme] |
| Slack | [N] | [Score] | [Theme] |
| Calls | [N] | [Score] | [Theme] |
Insight: Different sources often reveal different stories. Support tickets skew negative (problems). Reviews skew bipolar (love/hate). Calls reveal nuance. Note where themes appear across sources for highest confidence.
Show full SKILL.md (273 more words)Show less
3C: Segment Analysis
| Customer Segment | Dominant Sentiment | Top Request | Key Pain |
|---|---|---|---|
| [New customers] | [Sentiment] | [Request] | [Pain] |
| [Power users] | [Sentiment] | [Request] | [Pain] |
| [Enterprise] | [Sentiment] | [Request] | [Pain] |
| [Churned] | [Sentiment] | [Request] | [Pain] |
3D: Trend Detection
Compare against prior period (if available):
| Theme | Prior Period | This Period | Trend | Alert |
|---|---|---|---|---|
| [Theme 1] | [N mentions] | [N mentions] | [↑X%] | [New/Growing/Stable/Declining] |
| [Theme 2] | ... | ... | ... | ... |
New themes this period: [Themes that weren't present before] Resolved themes: [Themes that decreased significantly — things you fixed]
Phase 4: Recommendations
For Product Team
| Priority | Theme | Recommendation | Evidence Strength |
|---|---|---|---|
| P0 | [Theme] | [Specific action] | [N mentions, M sources, includes churn signals] |
| P1 | [Theme] | [Action] | [Evidence] |
| P2 | [Theme] | [Action] | [Evidence] |
For CS/Support Team
| Action | Theme | Expected Impact |
|---|---|---|
| [Create help article for X] | [Theme] | Deflect ~[N] tickets/month |
| [Add onboarding step for Y] | [Theme] | Reduce confusion for new users |
| [Proactive outreach to segment Z] | [Theme] | Prevent churn in at-risk segment |
For Marketing Team
| Action | Theme | Opportunity |
|---|---|---|
| [Use this proof point in messaging] | [Positive theme] | "[Customer quote ready for marketing]" |
| [Address this objection on website] | [Negative theme] | Counter common concern pre-sale |
| [Build case study around X] | [Positive theme] | [N] customers mentioned this win |
Phase 5: Output Format
# Voice of Customer Report — [Period]
Sources analyzed: [list]
Total feedback items: [N]
Date range: [start] — [end]
---
## Executive Summary
[3-5 sentences: What are customers saying? What's the overall sentiment?
What's the single most important thing to act on?]
---
## Sentiment Overview
Positive: [X%] | Neutral: [X%] | Negative: [X%] | Critical: [X%]
Net Sentiment Score: [calculated — % positive minus % negative]
vs Prior Period: [+/- X points]
---
## Top Themes (Ranked by Impact)
### 1. [Theme Name] — [Sentiment] — [N mentions]
**Summary:** [2-3 sentences]
**Key quotes:**
> "[Quote]" — [Source]
> "[Quote]" — [Source]
**Recommended action:** [What to do]
**Owner:** [Product / CS / Marketing]
### 2. [Theme Name] — ...
### 3. [Theme Name] — ...
[Continue for top 5-8 themes]
---
## What Customers Love (Preserve These)
| Strength | Evidence | Marketing Opportunity |
|----------|---------|----------------------|
| [Feature/experience] | "[Quote]" — [N mentions] | [How to use in messaging] |
---
## What Customers Want (Feature Requests)
| Request | Frequency | Segments | Product Priority |
|---------|-----------|----------|-----------------|
| [Feature] | [N mentions] | [Who wants it] | [P0/P1/P2] |
---
## What Causes Pain (Fix These)
| Pain Point | Severity | Churn Risk | Recommended Fix |
|-----------|----------|------------|----------------|
| [Issue] | [High/Med/Low] | [Yes/No] | [Action] |
---
## Trends vs Prior Period
[What's getting better, what's getting worse, what's new]
---
## Team-Specific Action Items
### Product Team
1. [Action] — [Evidence]
### CS Team
1. [Action] — [Evidence]
### Marketing Team
1. [Action] — [Evidence]
---
## Appendix: All Themes Detail
[Full theme cards with all quotes and analysis]Save to voc-report-[YYYY-MM-DD].md in the current working directory.
Scheduling
Run monthly or quarterly:
0 8 1 */3 * python3 run_skill.py voice-of-customer-synthesizer --client <client-name>Cost
| Component | Cost |
|---|---|
| Review scraping (via review-site-scraper) | ~$0.50-1.00 |
| Web search (social mentions) | Free |
| All analysis and synthesis | Free (LLM reasoning) |
| Total | Free — $1 |
Tools Required
- Optional:
review-site-scraperfor G2/Capterra/Trustpilot reviews - Optional:
twitter-mention-trackerfor social mentions - Optional:
reddit-post-finderfor community feedback - All analysis is pure LLM reasoning on provided data
Trigger Phrases
- "What are customers saying?"
- "Build a VoC report"
- "Synthesize our customer feedback"
- "Run voice of customer analysis"
- "Customer feedback summary for [period]"
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/research/composites/voice-of-customer-synthesizer of gooseworks-ai/goose-skills.
- SKILL.md
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Compare with similar skills
Voice Of Customer Synthesizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Voice Of Customer Synthesizer this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Memstack Product Feedback Analyzercwinvestments/memstack | 423 | — | ~2.7k | Automated safety check: Pass | Proprietary | |
| Google Maps Reviews Scrapergmapsscraper/google-maps-agent-skills | 132 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Taobao Product Reviewsbrowser-act/skills | 6.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Customer Supportaiskillstore/marketplace | 433 | 7 repos | ~2.2k | Automated safety check: Pass | None | |
| Afa Cxafadtc/afa-dtc-skills | 168 | — | ~2.4k | Automated safety check: Pass | Custom licence |
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Questions about Voice Of Customer Synthesizer
What does Voice Of Customer Synthesizer do?
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering…. Voice Of Customer Synthesizer is an agent skill from gooseworks-ai/goose-skills. Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams.
When should I use Voice Of Customer Synthesizer?
Voice Of Customer Synthesizer fits situations like: tasks that involve Customer feedback analysis; tasks that involve Market research; tasks that involve Web scraping.
How do I install Voice Of Customer Synthesizer in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a claude-code`. Or copy the skill folder (skills/research/composites/voice-of-customer-synthesizer in gooseworks-ai/goose-skills) into .claude/skills/voice-of-customer-synthesizer in your project. Claude Code loads it when a task matches its description.
How do I install Voice Of Customer Synthesizer in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a codex`. Or copy the skill folder (skills/research/composites/voice-of-customer-synthesizer in gooseworks-ai/goose-skills) into .agents/skills/voice-of-customer-synthesizer in your project. Codex loads it when a task matches its description.
Can I use Voice Of Customer Synthesizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-of-customer-synthesizer, .gemini/skills/voice-of-customer-synthesizer, .github/skills/voice-of-customer-synthesizer and .opencode/skills/voice-of-customer-synthesizer in your project.
What does Voice Of Customer Synthesizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Voice Of Customer Synthesizer is instructions for the agent only. Our summary lists: Python 3.
Does Voice Of Customer Synthesizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Voice Of Customer Synthesizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Voice Of Customer Synthesizer use?
Voice Of Customer Synthesizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Voice Of Customer Synthesizer use?
About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Voice Of Customer Synthesizer?
Skills that share tags, products or a category with Voice Of Customer Synthesizer: Memstack Product Feedback Analyzer (cwinvestments/memstack, 423 stars), Google Maps Reviews Scraper (gmapsscraper/google-maps-agent-skills, 132 stars), Taobao Product Reviews (browser-act/skills, 6.1k stars) and Customer Support (aiskillstore/marketplace, 433 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Voice Of Customer Synthesizer?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.